Core AI Engineering Manager at G-Research
At a glance
- Company
- G-Research
- Location
- United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 10+ years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
Apply for this role at G-Research
About the role
Responsibilities:
- Lead the Core AI team and own the AI infrastructure roadmap (GPU compute, model serving, developer experience, secure environments).
- Drive build vs. buy decisions and define platform architecture for model serving and inference at scale.
- Design and deliver a centralised MCP gateway and collaborate with platform teams to expose MCP services.
- Define secure sandboxing approaches for autonomous agents and ensure compliance in regulated environments.
- Partner with open-source contributors to influence priorities and integrate relevant OSS features.
- Mentor and grow a team of product-focused engineers; increase developer adoption via SDKs, docs and self-service tools.
Requirements:
- Proven track record leading large-scale platform or infrastructure initiatives and influencing senior stakeholders.
- Expert-level C# and Python skills and solid experience building distributed systems and GPU-optimised platforms.
- Deep Kubernetes knowledge (operators, multi-tenant management, custom schedulers) and infrastructure tooling (Docker, Terraform, CI/CD).
- Hands-on experience with GPU infrastructure, MCP servers, sandboxing technologies and platform optimisation.
- Strong communication, stakeholder management and mentoring skills; experience in regulated or security-sensitive environments is desirable.
Responsibilities
The Core AI Engineering Manager will lead the team responsible for the firm's foundational AI infrastructure, including GPU compute, model serving, and developer experience. They will drive the infrastructure roadmap, manage stakeholder communication, and mentor a team of product-focused engineers.
Requirements
The ideal candidate must have extensive experience leading large-scale platform initiatives and strong expertise in C#, Python, and Kubernetes. They should also possess deep knowledge of distributed systems, GPU infrastructure, and the ability to influence stakeholders across the organization.
Key skills
- Engineering management — in 69 other listings on The Stack
- Platform strategy — in 3 other listings on The Stack
- C# — in 37 other listings on The Stack
- Python — in 1099 other listings on The Stack
- Distributed systems — in 320 other listings on The Stack
- Kubernetes — in 548 other listings on The Stack
- Docker — in 443 other listings on The Stack
- Terraform — in 454 other listings on The Stack
- CI/CD
- GPU infrastructure
- Model serving
- Inference infrastructure
- MCP servers
- Sandboxing
- Infrastructure roadmap
On The Stack (as of 2026-10-30)
Frequently asked questions about G-Research
Is this Core AI Engineering Manager role still open?
It was posted on 2026-10-29 and is listed as active on The Stack. Confirm on G-Research's application page before applying.
Does G-Research offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on G-Research's site.
Where is this role located?
The listing gives the location as United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: Engineering management, Platform strategy, C#, Python, Distributed systems, Kubernetes, Docker, Terraform, CI/CD, GPU infrastructure, Model serving, Inference infrastructure, MCP servers, Sandboxing, Infrastructure roadmap.